IAM/AI Engineer

Tekskills Inc.; Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tekskills Inc. is seeking an IAM/AI Engineer in Bengaluru with 5-7 years of experience. You will design AI-driven IAM workflows, automate access processes, and integrate AI agents with IAM/PAM/ITSM tools, including ServiceNow. Emphasis on practical AI product development and governance.

Responsibilities include risk analysis, workflow optimization, and ensuring security and data governance for privileged access automation.

Qualifications

• Familiar with automation, workflows, and integrations including APIs and scripts.
• Hands-on exposure to AI/ML, copilots, or agentic systems; practical implementation over theory.
• Strong understanding of what an AI product is (LLM + MCP + Infra + Security + UX).

Responsibilities

• Design AI-driven IAM workflows to automate access requests and entitlements.
• Implement guardrails with Human-in-the-Loop governance for sensitive decisions.
• Integrate AI agents with IAM, PAM, and ITSM tools like ServiceNow.
• Develop continuous workflow optimization using audit data and feedback.
• Focus on security, privacy, and data governance for AI-enabled identity ops.

Skills

Automation

AI/ML exposure

Product thinking

Tools

APIs

Scripting

Connectors

ServiceNow

Job description

Role: IAM/AI Engineer

Experience: 5-7 years

Location: Bengaluru

Role & responsibilities

1. Familiarity with automation, workflows, and integrations (APIs, scripts, connectors) - Most importantly, exposure to AI/ML, copilots, or agentic systems (Im looking for someone with practical, not academic)
2. My personal note is this candidate should have a good understanding of how to build AI Products Looking for someone who has already done 0->1, In my simple terminology someone who knows what an AI product is (which is a combination of LLM + MCP + Infra + Security + UX + Governance)
3. Design AI-Driven IAM Workflows - Build agentic workflows to automate identity use cases such as access requests, JML exceptions, certifications, policy enforcement, and entitlement reviews.
4. Intelligent Access & Risk Analysis - Use AI to analyze identity, entitlement, and activity data to recommend approvals, detect anomalies, and highlight high-risk access patterns.
5. IAM, PAM & ITSM Integration -Integrate AI agents with existing IAM tools, PAM platforms, and ServiceNow to orchestrate end-to-end identity operations.
6. Human-in-the-Loop Governance - Implement guardrails where AI handles routine tasks, while sensitive IAM, PAM, and NHI decisions require human approval.
7. Workflow Optimization & Learning - Continuously improve automation based on audit outcomes, incident trends, and operational feedback.
8. AI Security, Compliance & Data Governance - Ensure AI workflows meet Playstations security, privacy, and compliance standards for identity and privileged access data.

Technology and Sub-technology

Automation, workflows, and integrations (APIs, scripts, connectors), AI/ML, copilots, or agentic systems, Design AI-Driven IAM Workflows, IAM, PAM & ITSM Integration, AI Security, Compliance & Data Governance